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Stacked Hourglass Networks for Human Pose Estimation (Demo Code)

This repository includes some basic Torch code for evaluation and visualization of our network output. A pretrained model is available on the project site at www-personal.umich.edu/~alnewell/pose. Include it in the main directory of this repository to run the demo code.

In addition, if you download the full MPII Human Pose dataset and replace images/ you can generate full predictions on the validation and test sets.

To run this code you must have installed:

(If there are any other dependencies that I have (likely) forgotten, get in touch and I will list them here)

For displaying the demo images: qlua main.lua demo

For generating predictions: th main.lua predict-[valid or test]

For evaluation on a set of validation predictions: th main.lua eval